MRI: Acquisition of a Heterogeneous High-Performance Computing Cluster Driven by Computational and Data-Intensive Multidisciplinary Research

南达科他州立大学（SDSU）将通过获取和部署先进的计算仪器，使具有高计算和数据密集型需求的区域研究和教育项目成为可能。该倡议的目标是加速科学发现，促进积极参与，推进研究界的合作，并在该地区提供资源，以推进和提升多学科STEM教育和研究。广泛的科学和工程领域将从此次收购中受益，包括气候学、卫星图像处理、国家食品安全和保障、细菌感染基因组学、抗生素耐药性和电网安全。该项目还将成为支持整个区域服务不足社区的教育和研究需求的焦点。SDSU研究网络基础设施（RCi）的团队将获得并实施一个强大的先进计算仪器，以实现以下关键项目目标：(1)在利用矢量和并行计算的力量的研究管道中扩大和提高计算核心能力；(2)使用Open OnDemand和Science gateway提高CPU和GPU资源的可用性；(3)扩大高成本效益计算工具对更大用户群的可及性。系统设计采用下一代计算机体系结构，硬件资源专为提高计算能力而设计。该仪器将提供扩展研究应用的灵活性，允许用户自行提供资源，并为新研究人员提供方便。这将通过使用现成的开源软件资源和预先构建的科学工作流来实现。该仪器将作为SDSU RCi的计算核心，为从事研究和教育的研究人员，合作者，员工和学生提供服务。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

South Dakota State University (SDSU) will enable regional research and educational programs with high computational and data-intensive needs through the acquisition and deployment of an advanced computing instrument. The goals of this initiative will accelerate scientific discovery, promote active engagement, advance collaboration within the research community, and provide a resource within the region to advance and elevate multi-disciplinary STEM education and research. A breadth of science and engineering fields will benefit from this acquisition, including climatology, satellite image processing, national food safety and security, genomics of bacterial infections, antibiotic resistance, and power grid security. This project will also be a focal point for supporting the educational and research needs of underserved communities throughout the region. The team within SDSU Research Cyberinfrastructure (RCi) will acquire and implement a robust advanced computing instrument that accomplishes the following key project objectives: (1) Widening and boosting computing core capabilities within research pipelines that harness the power of vector and parallel computing; (2) Advancing the usability of CPU and Graphics Processing Unit (GPU) resources using Open OnDemand and Science Gateways; and (3) Amplifying the accessibility of highly cost-effective computational tools to a larger user base. The system design uses a next-generation computer architecture with hardware resources specifically designed for boosting computing capacity. The instrument will offer the flexibility of scaling research applications, allowing the user to self-provision resources and facilitating ease of access for new researchers. This will be achieved using off-the-shelf open-source software resources and pre-built scientific workflows. This instrument will serve as a computational core for RCi at SDSU, serving researchers, collaborators, staff, and students engaged in research and education.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.